Onsemi, Unikie, and CoreHW have joined forces to introduce an end-to-end positioning system that simplifies the development of precise asset tracking solutions for warehouses, retail stores, and other buildings. This collaborative effort by Onsemi, a leader in semiconductor industry, utilizes their RSL15 MCU, known for its low power consumption, along with software algorithms and components provided by Unikie and CoreHW. The result is a fully integrated solution that optimizes components to work together seamlessly.
The newly launched Bluetooth Low Energy (Bluetooth LE) solution enables sub-meter accuracy in tracking objects or individuals within enclosed spaces. It offers scalability for large volumes of tracked objects while reducing development time and effort. The RSL15 MCU boasts advanced features such as longer-range support, high data transmissions, and Angle of Arrival (AoA) and Angle of Departure (AoD) localization capabilities, making it ideal for industrial automation applications like asset tracking, smart retail, and IoT edge nodes.
Unikie, an engineering company specializing in smart spaces, has developed software algorithms and components that enable real-time position calculations for Bluetooth LE-based tags. Their high-performance localization software, packaged as the Unikie BLE Localization Engine product, can be deployed at the edge or in the cloud. Furthermore, Unikie's APIs facilitate seamless integration with enterprise systems and data analyzers. CoreHW, a semiconductor company, offers Bluetooth Angle of Arrival (AoA) development kits, empowering industries to leverage indoor location systems for enhanced location-based applications. Their Bluetooth LE-enabled antenna array boards provide highly accurate location capabilities at a level as precise as 10 centimeters. Together, this partnership between Onsemi, Unikie, and CoreHW presents an innovative and comprehensive solution for asset tracking, enabling simplified development, enhanced accuracy, power efficiency, and robust security measures.